{"id":"W6949882532","doi":"10.5281/zenodo.15801700","title":"The Impact of LLM-Assistants on Software Developer Productivity: A Systematic Literature Review - Supplementary material.","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Queen's University","funders":"","keywords":"Systematic review; Software; Software technical review; Software review; Component (thermodynamics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.03329485,0.0008853995,0.003192393,0.01543674,0.000643966,0.002587191,0.001878687,0.001259638,0.01888312],"category_scores_gemma":[0.1704392,0.0007300534,0.004966902,0.01692776,0.0008304438,0.003377286,0.002911435,0.001083474,0.002017513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003134468,"about_ca_system_score_gemma":0.01924139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00573067,"about_ca_topic_score_gemma":0.02128323,"domain_scores_codex":[0.9748935,0.0098334,0.007960066,0.001759866,0.005022874,0.0005303624],"domain_scores_gemma":[0.7734815,0.1831605,0.02149305,0.003761237,0.01678144,0.001322242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0005401608,0.0000568483,0.003359153,0.8575436,0.003249214,0.0001028548,0.0006819409,0.00006882752,0.0001908635,0.0003821431,0.01015878,0.1236658],"study_design_scores_gemma":[0.0004396443,0.000321438,0.01585115,0.901482,0.03064698,0.0003353768,0.001163844,0.00009519067,0.0005287659,0.0006737986,0.04840041,0.00006134792],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01588862,0.9410455,0.002245779,0.003029017,0.0006205845,0.002881006,0.03049249,0.0001666817,0.003630334],"genre_scores_gemma":[0.1267314,0.830021,0.0110157,0.002972469,0.0003593109,0.00988883,0.01708042,0.0001875452,0.001743334],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9968076,"threshold_uncertainty_score":0.1760821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862633994363788,"score_gpt":0.2747503939735422,"score_spread":0.2561240540299043,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}